B9DW65 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibr26sbe36oqitlwvdrie2nse2xro3vc7nb6zh7tglufje6p4gqde/metadata.json
IPFS of structure file: 
bafybeiap7nhrgriouiypmtyfp53fxpwug3krnrhzhtpxujmgaila6iynze/AF-B9DW65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30d872b97D5A8BBB2071246F96F833576bC307D1
First NFT owner address (bech32): 
genesis1xrv89wtat29mkgr3y3hed7pn2a4uxp73ejvvak
Current NFT ID #336662 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
336662
Accession (UniProt):
B9DW65
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Streptococcus uberis (strain ATCC BAA-854 / 0140J)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT B9DW65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9DW65|RECA_STRU0 Protein RecA OS=Streptococcus uberis (strain ATCC BAA-854 / 0140J) OX=218495 GN=recA PE=3 SV=1 MAKKVKKTDDISKKFGEDRRKALDDALKNIEKDFGKGAVMRLGERAEQKVQVMSSGSLALDIALGAGGYPKGRIIEIYGPESSGKTTVALHAVAQAQKEGGIAAFIDAEHALDPAYAAALGVNIDELLLSQPDSGEQGLEIAGKLIDSGAVDLVVIDSVAALVPRAEIDGDIGDSHVGLQARMMSQAMRKLSASINKTKTIAIFINQLREKVGVMFGNPETTPGGRALKFYASVRLDVRGNTQIKGTGDQKDSSIGKETKIKVVKNKVAPPFKVAEVEIMYGEGISRTGELIKIASDLDVIQKAGAWFSYNGEKIGQGSENAKKFLADHPEIFDEIDHKVRVKVGLLEDEVLDNNQETVELPETDEFILDLDDAIEIED